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"How to increase a model's context window for handling large files" matching MCP servers:

  • how-to-test-an-mcp-server

    Autonoma-Tools
    A
    license
    -
    quality
    C
    maintenance
    A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.
    MIT

  • a-share-mcp

    shouldnotappearcalm
    A
    license
    -
    quality
    F
    maintenance
    提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器，支持盘中即时更新及批量查询。
    23
    MIT

  • Vantex-Security-A

    farahkhaterr
    F
    license
    -
    quality
    B
    maintenance
    This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

  • a-share-mcp

    RicalLiu
    F
    license
    -
    quality
    C
    maintenance
    Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

  • Skill-to-MCP

    biocontext-ai
    A
    license
    A
    quality
    C
    maintenance
    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    3
    27
    Apache 2.0

  • mem-context

    turbyho
    A
    license
    A
    quality
    A
    maintenance
    Multi-modal RAG engine for AI assistants. Stores conversation history, conclusions, diffs, error traces, and other development artifacts in LanceDB with vector search, multi-factor scoring, and an LLM-driven consolidation pipeline.
    10
    MIT

  • eph-context

    matias-denatale
    F
    license
    A
    quality
    C
    maintenance
    Provides official INDEC register designs and methodological rules to AI models, enabling accurate EPH data analysis code (R/Python) without hallucinations.
    6
    1

  • code-context

    nachogeinfor-ops
    A
    license
    A
    quality
    A
    maintenance
    An MCP server that provides dynamic codebase context to Claude Code through tools like hybrid search, recent changes, and symbol definitions, enhancing AI-assisted coding with local RAG.
    8
    MIT

  • pdf-context

    mematcha
    A
    license
    A
    quality
    B
    maintenance
    A local-first MCP server that ingests PDFs, extracts structure, and provides semantic search and sequential navigation tools for AI clients to query and learn from documents.
    10
    MIT

  • MCP Long Context Reader

    yuplin2333
    A
    license
    A
    quality
    D
    maintenance
    MCP Long Context Reader is a Python-based toolkit designed to overcome the context window limitations and high costs associated with Large Language Models (LLMs) processing extensive documents. It provides a FastMCP server with multiple, powerful strategies for an LLM agent to 'read' and query long documents without needing to load the entire text into its context window.
    5
    5
    MIT

  • just-a-mysql-mcp

    xingyuli
    A
    license
    A
    quality
    C
    maintenance
    Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.
    3
    MIT

  • mcp-context-memory

    maschmann
    F
    license
    A
    quality
    C
    maintenance
    A local semantic memory and code-indexer that uses AST parsing for structural understanding and persists architectural decisions to help AI assistants bypass context window limits.
    3

  • personal-context

    amr05008
    F
    license
    A
    quality
    B
    maintenance
    Enables LLMs to access a user's personal writing context—voice, style, opinions, expertise, projects, and communication patterns—via curated markdown files, helping the LLM match the user's voice when generating written content.
    2
    3